Radu-Emil Precup
Radu-Emil Precup
Professor of Automation and Applied Informatics, Politehnica University of Timisoara, Romania
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A survey on industrial applications of fuzzy control
RE Precup, H Hellendoorn
Computers in industry 62 (3), 213-226, 2011
An extension of tuning relations after symmetrical optimum method for PI and PID controllers
S Preitl, RE Precup
Automatica 35 (10), 1731-1736, 1999
Grey wolf optimizer algorithm-based tuning of fuzzy control systems with reduced parametric sensitivity
RE Precup, RC David, EM Petriu
IEEE Transactions on Industrial Electronics 64 (1), 527-534, 2017
Hybrid data-driven fuzzy active disturbance rejection control for tower crane systems
RC Roman, RE Precup, EM Petriu
European Journal of Control 58, 373-387, 2021
An overview on fault diagnosis and nature-inspired optimal control of industrial process applications
RE Precup, P Angelov, BSJ Costa, M Sayed-Mouchaweh
Computers in Industry 74, 75-94, 2015
A Unified Form of Fuzzy C-Means and K-Means algorithms and its Partitional Implementation
ID Borlea, RE Precup, AB Borlea, D Iercan
Knowledge-Based Systems 214, 106731, 2021
Evolving fuzzy models for prosthetic hand myoelectric-based control
RE Precup, TA Teban, A Albu, AB Borlea, IA Zamfirache, EM Petriu
IEEE Transactions on Instrumentation and Measurement 69 (7), 4625-4636, 2020
Model-free sliding mode control of nonlinear systems: Algorithms and experiments
RE Precup, MB Radac, RC Roman, EM Petriu
Information Sciences 381, 176-192, 2017
Policy Iteration Reinforcement Learning-based Control Using a Grey Wolf Optimizer Algorithm
IA Zamfirache, RE Precup, RC Roman, EM Petriu
Information Sciences 585, 162-175, 2022
Hybrid Particle filter-particle swarm optimization algorithm and application to fuzzy controlled servo systems
C Pozna, RE Precup, E Horvath, EM Petriu
IEEE Transactions on Fuzzy Systems 30 (10), 4286-4297, 2022
Design and experiments for a class of fuzzy controlled servo systems
RE Precup, S Preitl, IJ Rudas, ML Tomescu, JK Tar
Mechatronics, IEEE/ASME Transactions on 13 (1), 22-35, 2008
Reinforcement Learning-based Control Using Q-learning and Gravitational Search Algorithm with Experimental Validation on a Nonlinear Servo System
IA Zamfirache, RE Precup, RC Roman, EM Petriu
Information Sciences 583, 99-120, 2022
Stable fuzzy logic control of a general class of chaotic systems
RE Precup, ML Tomescu
Neural Computing and Applications 26, 541-550, 2015
Results and challenges of artificial neural networks used for decision-making and control in medical applications
A Albu, RE Precup, TA Teban
Facta Universitatis, Series: Mechanical Engineering 17 (3), 285-308, 2019
Novel adaptive gravitational search algorithm for fuzzy controlled servo systems
RE Precup, RC David, EM Petriu, S Preitl, MB Radac
Industrial Informatics, IEEE Transactions on 8 (4), 791-800, 2012
Controller design solutions for long distance telesurgical applications
T Haidegger, L Kovács, S Preitl, RE Precup, B Benyó, Z Benyó
International Journal of Artificial Intelligence 6 (S11), 48-71, 2011
Fuzzy control system performance enhancement by iterative learning control
RE Precup, S Preitl, JK Tar, ML Tomescu, M Takács, P Korondi, P Baranyi
Industrial Electronics, IEEE Transactions on 55 (9), 3461-3475, 2008
Nature-inspired optimization algorithms for fuzzy controlled servo systems
RE Precup, RC David
Butterworth-Heinemann, 2019
Slime mould algorithm-based tuning of cost-effective fuzzy controllers for servo systems
RE Precup, RC David, RC Roman, EM Petriu, AI Szedlak-Stinean
International Journal of Computational Intelligence Systems 14 (1), 1042-1052, 2021
Nature-inspired optimal tuning of input membership functions of Takagi-Sugeno-Kang fuzzy models for anti-lock braking systems
RE Precup, MC Sabau, EM Petriu
Applied Soft Computing 27, 575-589, 2015
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